PyCOMPSs Increment example, ran at Marenostrum IV supercomputer, example of INOUT file and compss_open usage COMPSs 3.3
Download RO-CrateName: Increment
Contact Person: support-compss@bsc.es
Access Level: public
License Agreement: Apache2
Platform: COMPSs
Description
Increment is an application that takes three different values and increases them a number of given times.
The purpose of this application is to show parallelism between the different increments.
Execution instructions
Usage:
runcompss --lang=python src/increment.py N initValue1 initValue2 initValue3
where:
- N: Number of times to increase the counters
- initValue1: Initial value for counter 1
- initValue2: Initial value for counter 2
- initValue3: Initial value for counter 3
Execution Examples
runcompss --lang=python src/increment.py 10 1 2 3
runcompss src/wordcount.py src/increment.py 10 1 2 3
python -m pycompss src/wordcount.py src/increment.py 10 1 2 3
Build
No build is required
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Version History
COMPSs 3.3 (earliest) Created 24th Nov 2023 at 08:35 by Raül Sirvent
Ran using COMPSs 3.3 version
Frozen
COMPSs-3.3f9b080c
Creators and SubmitterCreator
Additional credit
The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter
Views: 1840 Downloads: 418
Created: 24th Nov 2023 at 08:35
AttributionsNone
Related items
Teams: Cluster Emergent del Cervell Humà, Workflows and Distributed Computing, WP6 - Tsunamis, WP7 - Earthquakes, WP8 - Anthropogenic geophysical extremes, WP5 - Volcanoes, Pillar I: Manufacturing, Pillar II: Climate, Pillar III: Urgent computing for natural hazards, eFlows4HPC general, COMPSs Tutorials
Organizations: Barcelona Supercomputing Center (BSC-CNS)
https://orcid.org/0000-0003-0606-2512
Established Researcher at Workflows and Distributed Computing Group, Computer Sciences department, Barcelona Supercomputing Center.
eFlows4HPC project aims at providing workflow software stack and an additional set of services to enable the integration of HPC simulations and modelling with big data analytics and machine learning in scientific and industrial applications. The project is also developing the HPC Workflows as a Service (HPCWaaS) methodology that aims at providing tools to simplify the development, deployment, execution and reuse of workflows. The project demonstrates its advances through three application Pillars ...
Teams: Cluster Emergent del Cervell Humà, Workflows and Distributed Computing, Pillar I: Manufacturing, Pillar II: Climate, Pillar III: Urgent computing for natural hazards, eFlows4HPC general, COMPSs Tutorials
Web page: https://eflows4hpc.eu
Distributed computing aims to offer tools and mechanisms that enable the sharing, selection, and aggregation of a wide variety of geographically distributed computational resources in a transparent way. The research done in this team is based on the past expertise of the group, and on extending it towards the aspects of distributed computing that can benefit from this expertise. The team at BSC has a strong focus on programming models and resource management and scheduling in distributed computing ...
